Skip Navigation

Biometrika 1988 75(4):779-783; doi:10.1093/biomet/75.4.779
© 1988 by Biometrika Trust
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by BERMAN, M.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

A theorem of Jacobi and its generalization

MARK BERMAN

BHP Melbourne Research Laboratories Clayton, Victoria, Australia 3168

A theorem of Jacobi (1841), which shows how the ordinary least-squares estimator from a linear regression can be represented as the weighted sum of ‘elementary’ estimators of the parameters, is extended to the generalized least-squares estimator. The generalization is applied to a problem in microwave engineering.

Key Words: Elementary estimator • Generalized least-squares estimator • General linear model • Microwave engineering • Ordinary least-squares estimator


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.